title: Standalone functional CAD system for multi-object case analysis in hepatic disorders.
abstract: A new algorithm able to automatically diagnose the presence of the hemangioma areas in the hepatic ultrasonographic image is proposed. The algorithm uses a new multi-object approach which decomposes the image into three biological regions: a normal hepatic area, a hemangioma area and other areas. The de-noising process is efficiently accomplished for both Gaussian and Rayleigh noise distributions. Furthermore, a segmentation technique, based on gray level intensity analysis and the Moore-Neighbor contour tracing algorithm for a robust differentiation of the hemangioma area are employed. This new proposed technique is almost fully automatic, fast, and simple and its results are satisfactory.
authors.affiliation: Faculty of Sciences and Environment, Physics Department, Dunarea de Jos University of Galati, 47 Domneasca Street, 800008, Romania. luminita.moraru@ugal.ro
authors.forename: Luminita
authors.initials: L
authors.lastname: Moraru
authors.forename: Dorin
authors.initials: D
authors.lastname: Bibicu
authors.forename: Anjan
authors.initials: A
authors.lastname: Biswas
mesh_terms: D000465:Algorithms; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006391:Hemangioma / Q000000981:diagnostic imaging; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008099:Liver / Q000000981:diagnostic imaging; D008107:Liver Diseases / Q000000981:diagnostic imaging*; D012372:ROC Curve; D059629:Signal-To-Noise Ratio; D014463:Ultrasonography